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Analysis of medical data source reveals new diagnostic markers for allergic disorders Researchers at the University of Gothenburg, Sweden, have developed new methods for analysing medical databases which you can use to identify diagnostic markers more quickly and to personalise medication for allergic disorders. They could also reduce the need for animal trials in medical studies. Released in the journal PLoS Computational Biology, the study builds on data analyses of openly obtainable medical databases representing studies of countless amounts of individuals in the PubMed data source, and microarray data in another main database.